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Multidimensional Parameters Estimation of Array Signal via Single Signal Subspace

机译:基于单信号子空间的阵列信号多维参数估计

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This paper exploits rotation invariance of matrix pencil based on two parallel uniform linear polarization sensitive arrays, and eigenvalues and the corresponding eigenvectors of the matrix pencil are the rotation matrix and time-space-polarization steering vector of the subarray, respectively. The eigenvalues and steering vector can be used to estimate frequency, two-dimensional angles and polarization of incident signal simultaneously without spectral search. This method is of virtual array element and comparatively high resolution. Moreover this method is equal to multi-dimensional ESPRIT that matrix pencils share the same common set of eigenvectors, and two methods exploit the same information such as eigenvalues and eigenvectors of the matrix pencil. The simulation results verify and analyse the performances of two methods.
机译:本文基于两个平行的均匀线性极化敏感阵列,利用矩阵笔的旋转不变性,矩阵笔的特征值和对应的特征向量分别是子阵列的旋转矩阵和时空极化操纵向量。特征值和操纵向量可用于同时估计入射信号的频率,二维角度和入射信号的极化,而无需频谱搜索。该方法具有虚拟阵列元件和较高的分辨率。此外,该方法等于多维ESPRIT,即矩阵笔共享相同的特征向量集合,并且两种方法利用相同的信息,例如矩阵笔的特征值和特征向量。仿真结果验证并分析了两种方法的性能。

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